Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making

Cortico-basal-ganglia-thalamic (CBGT) networks are critical for adaptive decision-making, yet how changes to circuit-level properties impact cognitive algorithms remains unclear. Here we explore how dopaminergic plasticity at corticostriatal synapses alters competition between striatal pathways, imp...

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Veröffentlicht in:	PLoS computational biology 2019-05, Vol.15 (5), p.e1006998-e1006998
Hauptverfasser:	Dunovan, Kyle, Vich, Catalina, Clapp, Matthew, Verstynen, Timothy, Rubin, Jonathan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accumulation Algorithms Animals Basal Ganglia Biology and Life Sciences Cognition & reasoning Cognitive ability Competition Computer and Information Sciences Computer simulation Corpus Striatum Cortex Decision making Decision Making - physiology Diffusion models Diffusion rate Dopamine Dopamine receptors Dopaminergic Neurons - physiology Feedback Firing pattern Funding Ganglia Humans Learning Medicine and Health Sciences Mental task performance Models, Neurological Neostriatum Nerve Net - physiology Neural Pathways - physiology Neuronal Plasticity - physiology Neurons Neurons - physiology Neurosciences Physical Sciences Plastic properties Plasticity Psychological aspects Reinforcement Reinforcement, Psychology Reward Social Sciences Synapses Synapses - physiology Thalamus
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